Now showing items 1-9 of 9

    • A cost-effective framework for the optimal placement of drones in smart cities 

      Ülgen, Semail; Al-Turjman, Fadi; Daboul, Reda; Zahmatkesh, Hadi (CRC Press, 2019)
      This chapter presents the existing studies related to the use of unmanned aerial vehicles in the internet of things era. It outlines problem description and the proposed framework. The chapter discusses the performance ...
    • Drones Path Planning for Collaborative Data Collection in ITS 

      Al-Turjman, Fadi; Demir, Emre (CRC Press, Taylor & Francis Group, 2019)
      Unmanned aerial vehicles (UAVs) are used to physically interact with humans and urgent data collection in a shared workspace. They are flying collaborative robots that can be remotely supervised through a software-controlled ...
    • Emotional ANN (EANN): a new generation of neural networks for hydrological modeling in IoT 

      Nourani, Vahid; Molajou, Amir; Najafi, Hessam; Danandeh Mehr, Ali (Springer Nature Switzerland AG, 2019)
      Emotional artificial neural network (EANN) is a cutting-edge artificial intelligence method that has been used by researchers in the engineering and medical sciences over the recent years. First introduced in the 1999s, ...
    • Energy demand forecasting using deep learning 

      Hrnjica, Bahrudin; Danandeh Mehr, Ali (Springer Nature Switzerland AG, 2019)
      Our cities face non-stop growth in population and infrastructures and require more energy every day. Energy management is the key success for the smart cities concept since electricity is one of the essential resources ...
    • Grid-based UAV placement in intelligent transportation systems 

      Al-Turjman, Fadi; Alturjman, Sinem; Hamamreh, Jehad M. (CRC Press, 2019)
      Unmanned aerial vehicles (UAVs)-based projects in the smart city paradigm are no more a slim chance. Crisis reaction and coordination, open or private infrastructure control, coordination or support to astute transportation ...
    • mm-Waves in the Internet of Nano-Things 

      Al-Turjman, Fadi; Hamamreh, Jehad M. (Auerbach Publications, 2019)
      The nano-networks paradigm can empower the consumers to make a difference to their wellbeing by connecting data to personalized analysis within timely insights. The real-time data can be used in a variety of nano-applications ...
    • A neuro-fuzzy-based multi-criteria risk evaluation approach: a case study of underground mining 

      Ak, Muhammet Fatih (Springer, 2019)
      Underground mining is considered as one of the most hazard-prone industries, and serious work-related fatalities have arisen as a consequence of processes related to it; this chapter deals with occupational hazards and ...
    • Security in UAV/Drone communications 

      Al-Turjman, Fadi; Hamamreh, Jehad M. (CRC Press, 2019)
      This chapter highlights the latest advances and state-of-the-art research attempts performed towards applying physical layer security (PLS) to unmanned aerial vehicle (UAV) communication systems. It discusses some of the ...
    • Smart tourism destination in smart cities paradigm: a model for Antalya 

      Başer, Gözdegül; Doğan, Oğuz; Al-Turjman, Fadi (Springer Nature Switzerland AG, 2019)
      Smart tourism destination (STD) concept has taken serious attention as a result of the smart city initiatives. Technology connects all organizations, entities, activities, and elements. Tourism is a multidimensional service ...